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곽승민,박찬섭,조재화,류정선,김세규,장준,김성규 연세대학교의과대학 2004 Yonsei medical journal Vol.45 No.5
The purpose of this study was to propose that intrapleural urokinase (UK) instillation could reduce pleural thickening in the treatment of loculated tuberculous pleural effusion. Forty- three patients who were initially diagnosed as having loculated tuberculous pleural effusion were assigned at random to receive either the combined treatment of UK instillation including anti-tuberculosis agents (UK group, 21 patients) or strictly the unaccompanied anti-tuberculous agents (control group, 22 patients). The UK group received 100,000 IU of UK dissolved in 150ml of normal saline daily, introduced into the pleural cavity via a pig-tail catheter. The control group was treated with anti-tuberculous agents, excepting diagnostic thoracentesis. After the cessation of treatment, residual pleural thickening (RPT) was compared between the two groups. Clinical characteristics and pleural fluid biochemistry were also evaluated. The RPT (4.59±5.93mm) of the UK group was significantly lower than that (18.6±26.37mm) of the control group (p<0.05). The interval of symptoms observed prior to treatment of patients with RPT ≥10mm (6.0±3.4 wks) was detected to be significantly longer than in those with RPT<10mm (2.1±1.2wks) in the control group (p< 0.05). However, there were no discernible differences were seen in the pleural fluid parameter in patients with RPT≥10 mm, as compared to patients with RPT<10mm in the UK group. These results indicate that the treatment of loculated tuberculous pleural effusion with UK instillation via percutaneous transthoracic catheter can cause a successful reduction in pleural thickening.
소세포폐암에서 Neuron Specific Enolase의 면역조직 화학염색과 혈청농도에 관한 연구
곽승민 ( Seung Min Kwak ),김형중 ( Hyung Jung Kim ),신동환 ( Kong Hwan Shin ),장중현 ( Joong Hyun Jang ),이홍렬 ( Hong Lyeol Lee ),김세규 ( Se Kyu Kim ),안철민 ( Chul Min Ahn ),김성규 ( Sung Kyu Kim ),이원영 ( Won Young Lee ),이 대한결핵 및 호흡기학회 1992 Tuberculosis and Respiratory Diseases Vol.39 No.6
귀밑샘 암종에서 생존 예측을 위한 임상병리 인자 분석 및 머신러닝 모델의 구축
곽승민(Seung Min Kwak),김세헌(Se-Heon Kim),최은창(Eun Chang Choi),임재열(Jae-Yol Lim),고윤우(Yoon Woo Koh),박영민(Young Min Park) 대한두경부종양학회 2022 대한두경부 종양학회지 Vol.38 No.1
Background/Objectives: This study analyzed the prognostic significance of clinico-pathologic factors including comprehensive nodal factors in parotid gland cancers (PGCs) patients and constructed a survival prediction model for PGCs patients using machine learning techniques. Materials & Methods: A total of 131 PGCs patients were enrolled in the study. Results: There were 19 cases (14.5%) of lymph nodes (LNs) at the lower neck level and 43 cases (32.8%) involved multiple level LNs metastases. There were 2 cases (1.5%) of metastases to the contralateral LNs. Intraparotid LNs metastasis was observed in 6 cases (4.6%) and extranodal extension (ENE) findings were observed in 35 cases (26.7%). Lymphovascular invasion (LVI) and perineural invasion findings were observed in 42 cases (32.1%) and 49 cases (37.4%), respectively. Machine learning prediction models were constructed using clinico-pathologic factors including comprehensive nodal factors and Decision Tree and Stacking model showed the highest accuracy at 74% and 70% for predicting patient’s survival. Conclusion: Lower level LNs metastasis and LNR have important prognostic significance for predicting disease recurrence and survival in PGCs patients. These two factors were used as important features for constructing machine learning prediction model. Our machine learning model could predict PGCs patient’s survival with a considerable level of accuracy.